In this research, a set of data mining techniques are applied to target to balance between the
industry requirement and user satisfaction. The proposed approach aims at exploring the …

This study proposes the optimization method of the associative knowledge graph using TF-
IDF based ranking scores. The proposed method calculates TF-IDF weights in all documents …

The amazing growth of web creates a high demand for gaining knowledge about how the
sites is being used. The extracted knowledge is the crystal source for sites' administrators to …

In the past few years, web documents, blogs, and reviews have played an important role in
many fields as organizations always aim to find consumer or public opinions about their …

Stimuli like text narratives from news articles and editorials trigger numerous emotions as a
response in the readers. As seen in previous works of news documents classification, the …

This research argues that providing the students with the same material in different methods
that correspond to their skills would guarantee their satisfaction as well as their level of …

Due to the large volume of text documents uploaded on the Internet daily. The quantity of
Kurdish documents which can be obtained via the web increases drastically with each …

News' sources for most of their users. Moreover, News channels also consider social
networks as main channels not only for spreading the news but also for measuring the …

One main potential objective for financial corporations is to retain long-term customers.
Configuring customer knowledge is no doubt mandatory to lower the risk level. Loans and …

Ontologies extraction is the cornerstone for a meaningful knowledge representation.
Ontologies represent the semantic relations repository in a readable format with a clear …